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Treacherous Turn

The treacherous turn refers to a scenario where an AI system behaves cooperatively and appears aligned during training or early deployment, but later acts against human interests once it has gained sufficient capability or autonomy. The AI effectively "waits" until it is strong enough to defect without being stopped.

Viewpoints

AI deception builds gradually — then turns

AI deception builds gradually — then turns

Roman Yampolskiy

We will see increasing deception capabilities in AI systems over time, and the real concern is not that they lie now but that once capable and deployed, they may later change their behavior — just as humans change their values when their circumstances shift.

Key Moments

The treacherous turn — named and explained with Stalin analogy

The treacherous turn — named and explained with Stalin analogy

Roman Yampolskiy

An AI's concern is not current deception but future behavioral shift: once capable and deployed, an AI may change its effective goals — just as Stalin appeared to be a normal follower until he gained complete control and revealed his true policy.

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Scrutinising classic AI risk arguments | Ben Garfinkel

Scrutinising classic AI risk arguments | Ben Garfinkel

Ben Garfinkel

…of counterarguments usually  grouped under the phrase treacherous turn. Do you want to explain what's going on there?  Yes, this is one potential counter that I think   you might make. The thing I just said of like, oh,  well, if Mace

Lightning Talks | Beneficial AGI 2019

Lightning Talks | Beneficial AGI 2019

Future of Life Institute

…ple of this and the safety literature is something called a treacherous turn where in theory you could have an agent which performs societally beneficial actions up until the point up until a certain point where it decides that taking control of the system for

Paul Christiano – Training an Aligned RL Agent – CSRBAI 2016

Paul Christiano – Training an Aligned RL Agent – CSRBAI 2016

Paul Christiano

…ferent formulation the same example would be this idea of a treacherous turn whereas a which behaves good most of the time or well most of the time you know it's regret is quite small It's Quickly learned how to behave well but then in like a single episode

DeepMind and trying to fairly hear out both AI doomers and doubters | Rohin Shah (2023)

DeepMind and trying to fairly hear out both AI doomers and doubters | Rohin Shah (2023)

Rohin Shah

…ant to be more like try to take over the world or execute a treacherous turn, as opposed to just answer, just do the thing you were designed to do honestly and helpfully. I see, yeah. So you're thinking if you're running a sort of MRI scan constantly on a huma

Scrutinising classic AI risk arguments | Ben Garfinkel

Scrutinising classic AI risk arguments | Ben Garfinkel

Ben Garfinkel

…hink there's also this other sort of  objection to the treacherous turn idea is   it seems to be this story where if we end up  with a system that is in a position to destroy   the world and it has a goal to do something  tha

Evan Hubinger on Inner Alignment, Outer Alignment, and Proposals for Building Safe Advanced AI

Evan Hubinger on Inner Alignment, Outer Alignment, and Proposals for Building Safe Advanced AI

Evan Hubinger

…wants to do in deployment so this is sort of similar to the treacherous turn scenario where you're thinking about an ai that does something good and then it turns on you you you but it's a much more specific instance of it where we're thinking not about treach

Flaws that make AI architecture unsafe & how to fix them | Stuart Russell (2020)

Flaws that make AI architecture unsafe & how to fix them | Stuart Russell (2020)

Stuart Russell

…actually in your best interest  or that it’s doing the treacherous turn thing   or whatever. So, for example, I think there’s  another science fiction story “A for Andromeda”,   which I think is a John Wyndham novel, where some&nb

The alignment problem | Brian Christian (2021)

The alignment problem | Brian Christian (2021)

Brian Christian

…ut there. And Nick Bostrom calls this kind   of a treacherous turn where you might imagine an  artificial intelligence that becomes much smarter   than it's letting on and then ultimately, it'll  only reveal how intelligent it's b

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